PowerJob的MapProcessor工作流程源碼解讀
序
本文主要研究一下PowerJob的MapProcessor
powerjob 任務(wù)與工作流配置
MapProcessor
tech/powerjob/worker/core/processor/sdk/MapProcessor.java
public interface MapProcessor extends BasicProcessor { Logger log = LoggerFactory.getLogger(MapProcessor.class); int RECOMMEND_BATCH_SIZE = 200; /** * 分發(fā)子任務(wù) * @param taskList 子任務(wù),再次執(zhí)行時可通過 TaskContext#getSubTask 獲取 * @param taskName 子任務(wù)名稱,即子任務(wù)處理器中 TaskContext#getTaskName 獲取到的值 * @throws PowerJobCheckedException map 失敗將拋出異常 */ default void map(List<?> taskList, String taskName) throws PowerJobCheckedException { if (CollectionUtils.isEmpty(taskList)) { return; } TaskDO task = ThreadLocalStore.getTask(); WorkerRuntime workerRuntime = ThreadLocalStore.getRuntimeMeta(); if (taskList.size() > RECOMMEND_BATCH_SIZE) { log.warn("[Map-{}] map task size is too large, network maybe overload... please try to split the tasks.", task.getInstanceId()); } // 修復(fù) map 任務(wù)命名和根任務(wù)名或者最終任務(wù)名稱一致導(dǎo)致的問題(無限生成子任務(wù)或者直接失?。? if (TaskConstant.ROOT_TASK_NAME.equals(taskName) || TaskConstant.LAST_TASK_NAME.equals(taskName)) { log.warn("[Map-{}] illegal map task name : {}! please do not use 'OMS_ROOT_TASK' or 'OMS_LAST_TASK' as map task name. as a precaution, it will be renamed 'X-{}' automatically." ,task.getInstanceId() ,taskName , taskName); taskName ="X-"+taskName; } // 1. 構(gòu)造請求 ProcessorMapTaskRequest req = new ProcessorMapTaskRequest(task, taskList, taskName); // 2. 可靠發(fā)送請求(任務(wù)不允許丟失,需要使用 ask 方法,失敗拋異常) boolean requestSucceed = TransportUtils.reliableMapTask(req, task.getAddress(), workerRuntime); if (requestSucceed) { log.info("[Map-{}] map task[name={},num={}] successfully!", task.getInstanceId(), taskName, taskList.size()); }else { throw new PowerJobCheckedException("map failed for task: " + taskName); } } /** * 是否為根任務(wù) * @return true -> 根任務(wù) / false -> 非根任務(wù) */ default boolean isRootTask() { TaskDO task = ThreadLocalStore.getTask(); return TaskConstant.ROOT_TASK_NAME.equals(task.getTaskName()); } }
MapProcessor接口繼承了BasicProcessor,它提供了默認(rèn)的map方法用于分發(fā)子任務(wù),它主要是構(gòu)造了ProcessorMapTaskRequest,通過TransportUtils.reliableMapTask發(fā)送請求;它還提供了isRootTask方法用于判斷當(dāng)前任務(wù)是不是根任務(wù)
ProcessorMapTaskRequest
tech/powerjob/worker/pojo/request/ProcessorMapTaskRequest.java
@Getter @NoArgsConstructor public class ProcessorMapTaskRequest implements PowerSerializable { private Long instanceId; private Long subInstanceId; private String taskName; private List<SubTask> subTasks; @Getter @NoArgsConstructor @AllArgsConstructor public static class SubTask { private String taskId; private byte[] taskContent; } public ProcessorMapTaskRequest(TaskDO parentTask, List<?> subTaskList, String taskName) { this.instanceId = parentTask.getInstanceId(); this.subInstanceId = parentTask.getSubInstanceId(); this.taskName = taskName; this.subTasks = Lists.newLinkedList(); subTaskList.forEach(subTask -> { // 同一個 Task 內(nèi)部可能多次 Map,因此還是要確保線程級別的唯一 String subTaskId = parentTask.getTaskId() + "." + ThreadLocalStore.getTaskIDAddr().getAndIncrement(); // 寫入類名,方便反序列化 subTasks.add(new SubTask(subTaskId, SerializerUtils.serialize(subTask))); }); } }
ProcessorMapTaskRequest的構(gòu)造器將subTaskList轉(zhuǎn)換為一系列的SubTask,它使用SerializerUtils.serialize序列化(Kryo
)了用戶定義的subTask
reliableMapTask
tech/powerjob/worker/common/utils/TransportUtils.java
public static boolean reliableMapTask(ProcessorMapTaskRequest req, String address, WorkerRuntime workerRuntime) throws PowerJobCheckedException { try { return reliableAsk(ServerType.WORKER, WTT_PATH, WTT_HANDLER_MAP_TASK, address, req, workerRuntime.getTransporter()).isSuccess(); } catch (Throwable throwable) { throw new PowerJobCheckedException(throwable); } } private static AskResponse reliableAsk(ServerType t, String rootPath, String handlerPath, String address, PowerSerializable req, Transporter transporter) throws Exception { final URL url = easyBuildUrl(t, rootPath, handlerPath, address); final CompletionStage<AskResponse> completionStage = transporter.ask(url, req, AskResponse.class); return completionStage .toCompletableFuture() .get(RemoteConstant.DEFAULT_TIMEOUT_MS, TimeUnit.MILLISECONDS); }
reliableMapTask方法通過reliableAsk往taskTracker/mapTask接口發(fā)送請求,默認(rèn)是5s超時
onReceiveProcessorMapTaskRequest
tech/powerjob/worker/actors/TaskTrackerActor.java
/** * 子任務(wù) map 處理器 */ @Handler(path = WTT_HANDLER_MAP_TASK) public AskResponse onReceiveProcessorMapTaskRequest(ProcessorMapTaskRequest req) { HeavyTaskTracker taskTracker = HeavyTaskTrackerManager.getTaskTracker(req.getInstanceId()); if (taskTracker == null) { log.warn("[TaskTrackerActor] receive ProcessorMapTaskRequest({}) but system can't find TaskTracker.", req); return null; } boolean success = false; List<TaskDO> subTaskList = Lists.newLinkedList(); try { req.getSubTasks().forEach(originSubTask -> { TaskDO subTask = new TaskDO(); subTask.setTaskName(req.getTaskName()); subTask.setSubInstanceId(req.getSubInstanceId()); subTask.setTaskId(originSubTask.getTaskId()); subTask.setTaskContent(originSubTask.getTaskContent()); subTaskList.add(subTask); }); success = taskTracker.submitTask(subTaskList); }catch (Exception e) { log.warn("[TaskTrackerActor] process map task(instanceId={}) failed.", req.getInstanceId(), e); } AskResponse response = new AskResponse(); response.setSuccess(success); return response; }
TaskTrackerActor提供了onReceiveProcessorMapTaskRequest方法處理ProcessorMapTaskRequest,它將入?yún)⒌膕ubTasks轉(zhuǎn)換為一系列的TaskDO,然后通過taskTracker.submitTask提交
submitTask
tech/powerjob/worker/core/tracker/task/heavy/HeavyTaskTracker.java
/** * 提交Task任務(wù)(MapReduce的Map,Broadcast的廣播),上層保證 batchSize,同時插入過多數(shù)據(jù)可能導(dǎo)致失敗 * * @param newTaskList 新增的子任務(wù)列表 */ public boolean submitTask(List<TaskDO> newTaskList) { if (finished.get()) { return true; } if (CollectionUtils.isEmpty(newTaskList)) { return true; } // 基礎(chǔ)處理(多循環(huán)一次雖然有些浪費(fèi),但分布式執(zhí)行中,這點(diǎn)耗時絕不是主要占比,忽略不計!) newTaskList.forEach(task -> { task.setInstanceId(instanceId); task.setStatus(TaskStatus.WAITING_DISPATCH.getValue()); task.setFailedCnt(0); task.setLastModifiedTime(System.currentTimeMillis()); task.setCreatedTime(System.currentTimeMillis()); task.setLastReportTime(-1L); }); log.debug("[TaskTracker-{}] receive new tasks: {}", instanceId, newTaskList); return taskPersistenceService.batchSave(newTaskList); }
submitTask方法先填充一些字段信息,比如設(shè)置status為TaskStatus.WAITING_DISPATCH,然后調(diào)用taskPersistenceService.batchSave保存
batchSave
tech/powerjob/worker/persistence/TaskPersistenceService.java
public boolean batchSave(List<TaskDO> tasks) { if (CollectionUtils.isEmpty(tasks)) { return true; } try { return execute(() -> taskDAO.batchSave(tasks)); }catch (Exception e) { log.error("[TaskPersistenceService] batchSave tasks({}) failed.", tasks, e); } return false; } private static <T> T execute(SupplierPlus<T> executor) throws Exception { return CommonUtils.executeWithRetry(executor, RETRY_TIMES, RETRY_INTERVAL_MS); }
batchSave通過taskDAO.batchSave報錯,它針對異常會重試3次,每次間隔100ms
TaskDAOImpl.batchSave
tech/powerjob/worker/persistence/TaskDAOImpl.java
public boolean batchSave(Collection<TaskDO> tasks) throws SQLException { String insertSql = "insert into task_info(task_id, instance_id, sub_instance_id, task_name, task_content, address, status, result, failed_cnt, created_time, last_modified_time, last_report_time) values (?,?,?,?,?,?,?,?,?,?,?,?)"; boolean originAutoCommitFlag ; try (Connection conn = connectionFactory.getConnection()) { originAutoCommitFlag = conn.getAutoCommit(); conn.setAutoCommit(false); try ( PreparedStatement ps = conn.prepareStatement(insertSql)) { for (TaskDO task : tasks) { fillInsertPreparedStatement(task, ps); ps.addBatch(); } ps.executeBatch(); return true; } catch (Throwable e) { conn.rollback(); throw e; } finally { conn.setAutoCommit(originAutoCommitFlag); } } }
TaskDAOImpl的batchSave直接通過jdbc的executeBatch進(jìn)行批量保存
Dispatcher
tech/powerjob/worker/core/tracker/task/heavy/HeavyTaskTracker.java
/** * 定時掃描數(shù)據(jù)庫中的task(出于內(nèi)存占用量考慮,每次最多獲取100個),并將需要執(zhí)行的任務(wù)派發(fā)出去 */ protected class Dispatcher implements Runnable { // 數(shù)據(jù)庫查詢限制,每次最多查詢幾個任務(wù) private static final int DB_QUERY_LIMIT = 100; @Override public void run() { if (finished.get()) { return; } Stopwatch stopwatch = Stopwatch.createStarted(); // 1. 獲取可以派發(fā)任務(wù)的 ProcessorTracker List<String> availablePtIps = ptStatusHolder.getAvailableProcessorTrackers(); // 2. 沒有可用 ProcessorTracker,本次不派發(fā) if (availablePtIps.isEmpty()) { log.debug("[TaskTracker-{}] no available ProcessorTracker now.", instanceId); return; } // 3. 避免大查詢,分批派發(fā)任務(wù) long currentDispatchNum = 0; long maxDispatchNum = availablePtIps.size() * instanceInfo.getThreadConcurrency() * 2L; AtomicInteger index = new AtomicInteger(0); // 4. 循環(huán)查詢數(shù)據(jù)庫,獲取需要派發(fā)的任務(wù) while (maxDispatchNum > currentDispatchNum) { int dbQueryLimit = Math.min(DB_QUERY_LIMIT, (int) maxDispatchNum); List<TaskDO> needDispatchTasks = taskPersistenceService.getTaskByStatus(instanceId, TaskStatus.WAITING_DISPATCH, dbQueryLimit); currentDispatchNum += needDispatchTasks.size(); needDispatchTasks.forEach(task -> { // 獲取 ProcessorTracker 地址,如果 Task 中自帶了 Address,則使用該 Address String ptAddress = task.getAddress(); if (StringUtils.isEmpty(ptAddress) || RemoteConstant.EMPTY_ADDRESS.equals(ptAddress)) { ptAddress = availablePtIps.get(index.getAndIncrement() % availablePtIps.size()); } dispatchTask(task, ptAddress); }); // 數(shù)量不足 或 查詢失敗,則終止循環(huán) if (needDispatchTasks.size() < dbQueryLimit) { break; } } log.debug("[TaskTracker-{}] dispatched {} tasks,using time {}.", instanceId, currentDispatchNum, stopwatch.stop()); } }
HeavyTaskTracker每5s調(diào)度一次Dispatcher,其run方法先通過ptStatusHolder.getAvailableProcessorTrackers()獲取可以派發(fā)任務(wù)的ProcessorTracker,之后循環(huán)從數(shù)據(jù)庫拉取一批狀態(tài)為TaskStatus.WAITING_DISPATCH的任務(wù),通過輪詢的方式進(jìn)行dispatchTask
dispatchTask
tech/powerjob/worker/core/tracker/task/heavy/HeavyTaskTracker.java
protected void dispatchTask(TaskDO task, String processorTrackerAddress) { // 1. 持久化,更新數(shù)據(jù)庫(如果更新數(shù)據(jù)庫失敗,可能導(dǎo)致重復(fù)執(zhí)行,先不處理) TaskDO updateEntity = new TaskDO(); updateEntity.setStatus(TaskStatus.DISPATCH_SUCCESS_WORKER_UNCHECK.getValue()); // 寫入處理該任務(wù)的 ProcessorTracker updateEntity.setAddress(processorTrackerAddress); boolean success = taskPersistenceService.updateTask(instanceId, task.getTaskId(), updateEntity); if (!success) { log.warn("[TaskTracker-{}] dispatch task(taskId={},taskName={}) failed due to update task status failed.", instanceId, task.getTaskId(), task.getTaskName()); return; } // 2. 更新 ProcessorTrackerStatus 狀態(tài) ptStatusHolder.getProcessorTrackerStatus(processorTrackerAddress).setDispatched(true); // 3. 初始化緩存 taskId2BriefInfo.put(task.getTaskId(), new TaskBriefInfo(task.getTaskId(), TaskStatus.DISPATCH_SUCCESS_WORKER_UNCHECK, -1L)); // 4. 任務(wù)派發(fā) TaskTrackerStartTaskReq startTaskReq = new TaskTrackerStartTaskReq(instanceInfo, task, workerRuntime.getWorkerAddress()); TransportUtils.ttStartPtTask(startTaskReq, processorTrackerAddress, workerRuntime.getTransporter()); log.debug("[TaskTracker-{}] dispatch task(taskId={},taskName={}) successfully.", instanceId, task.getTaskId(), task.getTaskName()); }
dispatchTask先更新status為DISPATCH_SUCCESS_WORKER_UNCHECK,更新處理該任務(wù)的ProcessorTracker,之后構(gòu)建TaskTrackerStartTaskReq,通過TransportUtils.ttStartPtTask派送執(zhí)行task的請求
onReceiveTaskTrackerStartTaskReq
tech/powerjob/worker/actors/ProcessorTrackerActor.java
@Handler(path = RemoteConstant.WPT_HANDLER_START_TASK, processType = ProcessType.NO_BLOCKING) public void onReceiveTaskTrackerStartTaskReq(TaskTrackerStartTaskReq req) { Long instanceId = req.getInstanceInfo().getInstanceId(); // 創(chuàng)建 ProcessorTracker 一定能成功 ProcessorTracker processorTracker = ProcessorTrackerManager.getProcessorTracker( instanceId, req.getTaskTrackerAddress(), () -> new ProcessorTracker(req, workerRuntime)); TaskDO task = new TaskDO(); task.setTaskId(req.getTaskId()); task.setTaskName(req.getTaskName()); task.setTaskContent(req.getTaskContent()); task.setFailedCnt(req.getTaskCurrentRetryNums()); task.setSubInstanceId(req.getSubInstanceId()); processorTracker.submitTask(task); }--pre>
ProcessorTrackerActor的onReceiveTaskTrackerStartTaskReq主要是獲取或者創(chuàng)建processorTracker,然后執(zhí)行其submitTask提交任務(wù)
ProcessorTracker.submitTask
tech/powerjob/worker/core/tracker/processor/ProcessorTracker.java
public void submitTask(TaskDO newTask) { // 一旦 ProcessorTracker 出現(xiàn)異常,所有提交到此處的任務(wù)直接返回失敗,防止形成死鎖 // 死鎖分析:TT創(chuàng)建PT,PT創(chuàng)建失敗,無法定期匯報心跳,TT長時間未收到PT心跳,認(rèn)為PT宕機(jī)(確實宕機(jī)了),無法選擇可用的PT再次派發(fā)任務(wù),死鎖形成,GG斯密達(dá) T_T if (lethal) { ProcessorReportTaskStatusReq report = new ProcessorReportTaskStatusReq() .setInstanceId(instanceId) .setSubInstanceId(newTask.getSubInstanceId()) .setTaskId(newTask.getTaskId()) .setStatus(TaskStatus.WORKER_PROCESS_FAILED.getValue()) .setResult(lethalReason) .setReportTime(System.currentTimeMillis()); TransportUtils.ptReportTask(report, taskTrackerAddress, workerRuntime); return; } boolean success = false; // 1. 設(shè)置值并提交執(zhí)行 newTask.setInstanceId(instanceInfo.getInstanceId()); newTask.setAddress(taskTrackerAddress); HeavyProcessorRunnable heavyProcessorRunnable = new HeavyProcessorRunnable(instanceInfo, taskTrackerAddress, newTask, processorBean, omsLogger, statusReportRetryQueue, workerRuntime); try { threadPool.submit(heavyProcessorRunnable); success = true; } catch (RejectedExecutionException ignore) { log.warn("[ProcessorTracker-{}] submit task(taskId={},taskName={}) to ThreadPool failed due to ThreadPool has too much task waiting to process, this task will dispatch to other ProcessorTracker.", instanceId, newTask.getTaskId(), newTask.getTaskName()); } catch (Exception e) { log.error("[ProcessorTracker-{}] submit task(taskId={},taskName={}) to ThreadPool failed.", instanceId, newTask.getTaskId(), newTask.getTaskName(), e); } // 2. 回復(fù)接收成功 if (success) { ProcessorReportTaskStatusReq reportReq = new ProcessorReportTaskStatusReq(); reportReq.setInstanceId(instanceId); reportReq.setSubInstanceId(newTask.getSubInstanceId()); reportReq.setTaskId(newTask.getTaskId()); reportReq.setStatus(TaskStatus.WORKER_RECEIVED.getValue()); reportReq.setReportTime(System.currentTimeMillis()); TransportUtils.ptReportTask(reportReq, taskTrackerAddress, workerRuntime); log.debug("[ProcessorTracker-{}] submit task(taskId={}, taskName={}) success, current queue size: {}.", instanceId, newTask.getTaskId(), newTask.getTaskName(), threadPool.getQueue().size()); } }
ProcessorTracker的submitTask方法創(chuàng)建HeavyProcessorRunnable,提交到threadPool執(zhí)行,之后回復(fù)ProcessorReportTaskStatusReq,告知status為TaskStatus.WORKER_RECEIVED
PowerJob分布式框架任務(wù)調(diào)度框架
小結(jié)
- MapProcessor接口繼承了BasicProcessor,它提供了默認(rèn)的map方法用于分發(fā)子任務(wù),它主要是構(gòu)造了ProcessorMapTaskRequest,通過TransportUtils.reliableMapTask發(fā)送請求,它先把task保存下來,初始的status為TaskStatus.WAITING_DISPATCH;
- HeavyTaskTracker每5s調(diào)度一次Dispatcher,其run方法先通過ptStatusHolder.getAvailableProcessorTrackers()獲取可以派發(fā)任務(wù)的ProcessorTracker,之后循環(huán)從數(shù)據(jù)庫拉取一批狀態(tài)為TaskStatus.WAITING_DISPATCH的任務(wù),通過輪詢的方式進(jìn)行dispatchTask;
- dispatchTask先更新status為DISPATCH_SUCCESS_WORKER_UNCHECK,更新處理該任務(wù)的ProcessorTracker,之后構(gòu)建TaskTrackerStartTaskReq,通過TransportUtils.ttStartPtTask派送執(zhí)行task的請求;
- ProcessorTracker的submitTask方法創(chuàng)建HeavyProcessorRunnable,提交到threadPool執(zhí)行,之后回復(fù)ProcessorReportTaskStatusReq,告知status為TaskStatus.WORKER_RECEIVED;
- 最后通過HeavyProcessorRunnable調(diào)用對應(yīng)的processor.process方法執(zhí)行具體的任務(wù)
以上就是PowerJob的MapProcessor工作流程源碼解讀的詳細(xì)內(nèi)容,更多關(guān)于PowerJob MapProcessor的資料請關(guān)注腳本之家其它相關(guān)文章!
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